Breast neoplasms ultrasonic image segmentation method based on improved level set algorithm

Abstract

The invention belongs to the field of treatment of medical images, and relates to a breast neoplasms ultrasonic image segmentation method based on improved level set algorithm. The method is characterized in that the original image is pre-treated and remains the effective area, the speckle noise is removed, so as to achieve the purpose of protecting the boundary; the image is adaptively segmented according to the threshold. The method comprises the steps of (1) inversing color for the image; (2) determining the threshold; (3) screening candidate areas; (4) arranging the rest candidate areas; (5) determining seed points. With the adoption of the method, the seed points can be quickly found, the seed points can be kept in a neoplasms area, and the accurate determination of the seed points ensures the accuracy of area growth and level set; in addition, the seed points grow in the area, and the initial contour can be found; the classic Chan-Vese (CV) algorithm is improved; the global statistics information of the curved line of the contour in the development process is considered during calculating the global statistics information; the accuracy of the segmentation result is ensured, and moreover, the automation level of the segmentation method can be further improved.

Description

technical field [0001] The invention belongs to the field of medical image processing, and relates to a breast tumor ultrasonic image segmentation method based on an improved level set algorithm. Background technique [0002] In recent years, breast cancer has become the malignant tumor with the highest incidence rate in women today, seriously endangering women's health. Currently, biopsy results are clinically used as the standard for diagnosing breast tumors. However, biopsy is an invasive examination method, which will cause serious physical and mental burden to patients. With the development of medical imaging technology, with the help of medical images, doctors can detect tumors in time, and judge the nature and type of tumors, so as to provide diagnostic opinions. At present, the commonly used clinical detection methods for breast tumor images include mammography, magnetic resonance, and ultrasound imaging. Among them, the detection of mammography X-ray is based on ...

AI Technical Summary

Problems solved by technology

However, the level set algorithm is limited by the initial contour, and because the usual segmentation technology requires manual intervention and the segmentation process is cumbersome, it seriously affects the segmentation results and effects.

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